So, we have estimated that the true population mean is about 65.2; we know the population mean isn't exactly `65.19704`

—but by just how much might our estimate be off?

To answer this question, let's take repeated samples from the population again. This time, we're going to take samples of size 40 from the population 10,000 times and plot a frequency distribution of the means.

> means.of.our.samples <- numeric(10000) > for(i in 1:10000){ + a.sample <- sample(all.us.women, 40) + means.of.our.samples[i] <- mean(a.sample) + }

This frequency distribution is called a *sampling distribution ...*

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